Machine Learning (ML) Resources.

Browse technical briefs, research papers, and best practices focused on applying machine learning in development and the public sector. Find the latest documents, toolkits, and reports organized for convenient reference.

NurtureNet: A Multi-task Video-based Approach for Newborn Anthropometry

CVPR 2024

CVPM Workshop

Best Paper Award

Evaluating Robustness in LLM-based Medical Chatbots

CHI-25 Workshop

Human-Centered Evaluation Track

Predicting Treatment Adherence of Tuberculosis Patients at Scale

ML4H 2022 

Best Paper Award

BOLLWM: A real-world dataset for bollworm pest monitoring from cotton fields in India

ICLR 2023 

PML4DC Workshop

Maintaining User Trust Through Multistage Uncertainty Aware Inference

AAAI 2024

Deployable AI Workshop

Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays

ISBI 2025

Regular Paper

Garuda: Indian Agricultural LLM & Krishi Saathi Chatbot

AAAI 2025

Open-Source AI Workshop 

Demo Paper

Using Artificial Intelligence for Integrated Pest Management and Smart Farmer Advisories

Agri Vision 2024 | 

AISI Track

Automatic Interpretation of Line Probe Assay Test for Tuberculosis

AAAI 2024

AISI Track

How Can We Tame the Long-Tail of Chest X-ray Datasets?

ICCVW 2023 

CVAMD

Extended Abstract

Monitoring Nationwide TB Risk Stratification

Union World Conference on Lung Health 2023

Can we Adopt Self-supervised Pretraining for Chest X-Rays?

ML4H 2022 

Extended Abstract

A Case for Rejection in Low-Resource ML Deployment

NeurIPS 2022

Poster

Workshop

Pest Management In Cotton Farms: An AI-System Case Study from the Global South

KDD 2020

Interpretability of Epidemiological Models: The Curse of Non-identifiability

ICLR 2021

AI for Public Health Workshop

Impact of data-splits on generalization: Identifying COVID-19 from cough and context

ICLR 2021

Workshop on Preventing Pandemics

Adaptive COVID-19 Forecasting via Bayesian Optimization

CODS-COMAD 2021

Poster

Workshop

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US

PNAS 2021

Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty

AAMAS 2020

Cough Against COVID: Evidence of COVID-19 Signature in Cough Sounds

arXiv Preprint 2020

Robust Lock-Down Optimization for COVID-19 Policy Guidance

AAAI 2020

AI for Social Good Symposium

Synthetic Data Generation for Improved covid-19 Epidemic Forecasting

medRxiv Preprint 2020

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